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dc.contributor.authorLourakis, Manolisen_US
dc.contributor.authorArgyros, Antonisen_US
dc.contributor.editorPaolo Cignoni and Jiri Sochoren_US
dc.date.accessioned2015-07-14T12:23:04Z
dc.date.available2015-07-14T12:23:04Z
dc.date.issued2007en_US
dc.identifier.urihttp://dx.doi.org/10.2312/egs.20071030en_US
dc.description.abstractThree-dimensional reconstruction from a single view is an under-constrained process that relies critically upon the availability of prior knowledge about the imaged scene. This knowledge is assumed to be supplied by a user in the form of geometric constraints such as coplanarity, parallelism, perpendicularity, etc, based on his/her interpretation of the scene. In the presence of noise, however, most of the existing methods yield reconstructions that only approximately satisfy the supplied geometric constraints. This paper proposes a novel single view reconstruction method that provides reconstructions which exactly satisfy all user-supplied constraints. This is achieved by first obtaining a preliminary reconstruction and then refining it in an extendable, constrained optimization framework.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleEnforcing Scene Constraints in Single View Reconstructionen_US
dc.description.seriesinformationEG Short Papersen_US
dc.description.sectionheadersSP2 - Session 2en_US
dc.identifier.doi10.2312/egs.20071030en_US
dc.identifier.pages45-48en_US


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